...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Ciência e Agrotecnologia >Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas
【24h】

Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas

机译：使用遗留数据对两个流域的土壤进行测绘并针对类似的周围区域进行外推

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Existing soil maps (legacy data) associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas. Detailed soil maps of Vista Bela creek (VBW) and Marcela creek (MCW) watersheds were used as source of information. Seven methods to extract information from maps were compared: the whole polygon, eliminating 20 and 40 m from the polygon boundaries, and with buffers around the sampled points with radii of 25 m, 50 m, 75 m, and 100 m. The Classification and Regression Trees (CART) algorithm was employed to create decision trees and enable creation of soil maps. Accuracy was assessed through overall accuracy and kappa index. The best method was used to extrapolate information to larger areas and maps were validated. The best methods for VCW and MCW were, respectively, eliminating 20 m from polygon edges and buffer of 25 m of radii from points. Maps for larger areas were obtained using these methods. Removing uncertainty areas from legacy soil maps contribute to better modeling and prediction of soil classes. Information generated in this work allowed for validated extrapolation of soil maps for regions surrounding the watersheds.
机译：与数字制图技术关联的现有土壤图（传统数据）是以较低成本获取信息的替代方法，但是，需要进行测试才能更有效地进行。这项研究的目的是比较使用决策树绘制米纳斯吉拉斯州两个流域土壤类别的决策树从详细比例土壤地图中提取信息的不同方法，在野外验证这些地图，并使用最佳方法将信息外推到更大的区域，验证这些较大区域的地图。 Vista Bela Creek（VBW）和Marcela Creek（MCW）流域的详细土壤图被用作信息来源。比较了从地图提取信息的七种方法：整个多边形，从多边形边界中删除20和40 m，以及在采样点周围使用半径为25 m，50 m，75 m和100 m的缓冲区。分类和回归树（CART）算法用于创建决策树并能够创建土壤图。准确性通过总体准确性和kappa指数进行评估。使用最佳方法将信息外推到更大的区域，并验证了地图。 VCW和MCW的最佳方法分别是从多边形边缘消除20 m和从点消除25 m半径的缓冲区。使用这些方法可以获得较大区域的地图。从遗留土壤图上删除不确定区域有助于更好地对土壤分类进行建模和预测。这项工作产生的信息可以对流域周围地区的土壤图进行有效的推断。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号